mirror of
https://github.com/CloakHQ/CloakBrowser.git
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CloakHQ
c35afec09a
Auto-responds to new issues with related docs and past issues. Uses actions/ai-inference with GPT-4.1 (free GitHub Models). 5 search strategies: title, keywords, body terms, labels, error msgs. No external API keys needed.
149 lines
6.9 KiB
YAML
149 lines
6.9 KiB
YAML
name: Issue Knowledge Responder
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on:
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issues:
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types: [opened]
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jobs:
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respond:
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if: github.event.issue.user.type != 'Bot'
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runs-on: ubuntu-latest
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timeout-minutes: 5
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permissions:
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contents: read
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issues: write
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models: read
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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with:
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fetch-depth: 1
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- name: Gather context
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env:
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GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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ISSUE_NUMBER: ${{ github.event.issue.number }}
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REPO: ${{ github.repository }}
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run: |
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mkdir -p /tmp/ctx
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# 1. Read the full issue
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gh issue view "$ISSUE_NUMBER" --repo "$REPO" --json title,body,labels --jq '
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"Title: " + .title + "\n\nBody:\n" + (.body // "No body") + "\n\nLabels: " + ([.labels[].name] | join(", "))
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' > /tmp/ctx/issue_body.txt
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# 2. Extract keywords from title + body
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TITLE=$(gh issue view "$ISSUE_NUMBER" --repo "$REPO" --json title --jq '.title')
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BODY_TEXT=$(gh issue view "$ISSUE_NUMBER" --repo "$REPO" --json body --jq '.body // ""' | head -20)
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STOPWORDS='^(the|a|an|is|in|on|at|to|for|of|with|and|or|not|bug|issue|error|problem|help|please|how|why|what|does|can|i|my|me|it|this|that|when|from|have|has|been|are|was|were|be|do|did|just|but|if|so|no|yes|all|any|some|like|get|got|use|using|used|try|tried|also|want|need|would|could|should|about|into|after|before|only|very|too|more|most|much|own|same|other|than|then|there|here|each|every|both|few|many|such|these|those|its|new|old|first|last|long|great|little|right|big|high|different|small|large|next|early|young|important|public|bad|same|able)$'
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TITLE_KW=$(echo "$TITLE" | tr -cs 'a-zA-Z0-9' ' ' | tr ' ' '\n' | \
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grep -v -i -E "$STOPWORDS" | head -5 | tr '\n' ' ')
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BODY_KW=$(echo "$BODY_TEXT" | tr -cs 'a-zA-Z0-9' ' ' | tr ' ' '\n' | \
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grep -v -i -E "$STOPWORDS" | sort | uniq -c | sort -rn | awk '{print $2}' | head -5 | tr '\n' ' ')
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# 3. Search past issues — 5 strategies, deduplicated
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# A: full title
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gh issue list --repo "$REPO" --state all --search "$TITLE" --limit 10 \
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--json number,title,state --jq '.[] | "#\(.number) — \(.title) (\(.state))"' \
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2>/dev/null > /tmp/ctx/search_results.txt || true
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# B: title keywords
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gh issue list --repo "$REPO" --state all --search "$TITLE_KW" --limit 10 \
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--json number,title,state --jq '.[] | "#\(.number) — \(.title) (\(.state))"' \
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2>/dev/null >> /tmp/ctx/search_results.txt || true
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# C: body keywords (most frequent terms from body)
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if [ -n "$BODY_KW" ]; then
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gh issue list --repo "$REPO" --state all --search "$BODY_KW" --limit 10 \
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--json number,title,state --jq '.[] | "#\(.number) — \(.title) (\(.state))"' \
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2>/dev/null >> /tmp/ctx/search_results.txt || true
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fi
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# D: search by labels if the new issue has any
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LABELS=$(gh issue view "$ISSUE_NUMBER" --repo "$REPO" --json labels --jq '[.labels[].name] | join(",")')
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if [ -n "$LABELS" ]; then
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IFS=',' read -ra LABEL_ARR <<< "$LABELS"
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for LBL in "${LABEL_ARR[@]}"; do
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gh issue list --repo "$REPO" --state all --label "$LBL" --limit 10 \
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--json number,title,state --jq '.[] | "#\(.number) — \(.title) (\(.state))"' \
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2>/dev/null >> /tmp/ctx/search_results.txt || true
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done
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fi
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# E: search for error messages / code snippets in body (first backtick block or quoted line)
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ERROR_MSG=$(echo "$BODY_TEXT" | grep -oP '`[^`]{5,80}`' | head -1 | tr -d '`')
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if [ -n "$ERROR_MSG" ]; then
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gh issue list --repo "$REPO" --state all --search "$ERROR_MSG" --limit 5 \
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--json number,title,state --jq '.[] | "#\(.number) — \(.title) (\(.state))"' \
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2>/dev/null >> /tmp/ctx/search_results.txt || true
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fi
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# Deduplicate, exclude self, keep top 20
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sort -u /tmp/ctx/search_results.txt | \
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grep -v "^#${ISSUE_NUMBER} " | head -20 > /tmp/ctx/past_issues.txt
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# 4. Read top 7 issue details (body + comments)
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echo "" > /tmp/ctx/issue_details.txt
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for NUM in $(grep -oP '#\K[0-9]+' /tmp/ctx/past_issues.txt | head -7); do
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gh issue view "$NUM" --repo "$REPO" --json title,state,body,comments --jq '
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"### #'"$NUM"' — " + .title + " (" + .state + ")\n" +
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(.body // "")[:500] + "\n\nComments:\n" +
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([.comments[:3][] | .body[:300]] | join("\n---\n"))
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' >> /tmp/ctx/issue_details.txt 2>/dev/null || true
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echo -e "\n---\n" >> /tmp/ctx/issue_details.txt
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done
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# 5. Read docs
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head -200 README.md > /tmp/ctx/readme.txt 2>/dev/null || echo "No README" > /tmp/ctx/readme.txt
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head -150 js/README.md > /tmp/ctx/js_readme.txt 2>/dev/null || echo "No JS README" > /tmp/ctx/js_readme.txt
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head -100 CHANGELOG.md > /tmp/ctx/changelog.txt 2>/dev/null || echo "No CHANGELOG" > /tmp/ctx/changelog.txt
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# Debug: show what we gathered
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echo "=== Issue ===" && head -5 /tmp/ctx/issue_body.txt
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echo "=== Past issues ===" && cat /tmp/ctx/past_issues.txt
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echo "=== Keywords: $KEYWORDS ==="
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- name: AI analysis
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id: ai
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uses: actions/ai-inference@v1
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with:
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prompt-file: .github/prompts/issue-responder.prompt.yml
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file_input: |
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issue_body: /tmp/ctx/issue_body.txt
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past_issues: /tmp/ctx/past_issues.txt
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issue_details: /tmp/ctx/issue_details.txt
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readme: /tmp/ctx/readme.txt
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js_readme: /tmp/ctx/js_readme.txt
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changelog: /tmp/ctx/changelog.txt
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- name: Parse and post
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env:
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GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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run: |
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RESPONSE=$(cat "${{ steps.ai.outputs.response-file }}")
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echo "=== AI Response ==="
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echo "$RESPONSE"
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if echo "$RESPONSE" | grep -q "RESPOND: YES"; then
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# Extract content between --- markers
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COMMENT=$(echo "$RESPONSE" | sed -n '/^---$/,/^---$/p' | sed '1d;$d')
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if [ -z "$COMMENT" ]; then
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# Fallback: everything after "RESPOND: YES", strip --- lines
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COMMENT=$(echo "$RESPONSE" | sed '1,/RESPOND: YES/d' | sed '/^---$/d')
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fi
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if [ -n "$COMMENT" ]; then
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echo "$COMMENT" > /tmp/comment.txt
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gh issue comment "${{ github.event.issue.number }}" \
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--repo "${{ github.repository }}" \
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--body-file /tmp/comment.txt
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echo "✅ Comment posted"
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else
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echo "⚠️ RESPOND: YES but empty comment body, skipping"
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fi
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else
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echo "ℹ️ No relevant resources found, staying silent"
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fi
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